¡Nos trasladamos! E-Prints cerrará el 7 de junio.

En las próximas semanas vamos a migrar nuestro repositorio a una nueva plataforma con muchas funcionalidades nuevas. En esta migración las fechas clave del proceso son las siguientes:

Es muy importante que cualquier depósito se realice en E-Prints Complutense antes del 7 de junio. En caso de urgencia para realizar un depósito, se puede comunicar a docta@ucm.es.

A compositional Eulerian approach for modeling oil spills in the sea



Downloads per month over past year

Ivorra, Benjamin and Gómez, Susana and Carrera, Jesus and Ramos del Olmo, Ángel Manuel (2021) A compositional Eulerian approach for modeling oil spills in the sea. Ocean Engineering, 242 . p. 110096. ISSN 00298018

[thumbnail of 1-s2.0-S0029801821014207-main.pdf]
Creative Commons Attribution.


Official URL: https://doi.org/10.1016/j.oceaneng.2021.110096


We present a Compositional Eulerian model to forecast the evolution of oil spills in the sea. The model allows studying the fate of not only the oil concentration but also of each component (e.g., volatile, non-volatile, water in the oil). Therefore, the problem is formulated as a conservation equation for each component, plus an equation to estimate the age of the oil, which allows us to assess weathering processes (e.g., evaporation, natural dispersion, emulsion) and the associated changes in oil properties. We describe an efficient implementation, using second order numerical schemes for advection and nonlinear diffusion terms, to reduce numerical diffusion. We perform numerical experiments, based on real and synthetic cases, to illustrate and validate the capabilities of our model to forecast the evolution of oil spills and to perform environmental risk analysis in the case of a potential accident.

Item Type:Article
Additional Information:

CRUE-CSIC (Acuerdos Transformativos 2021)

Uncontrolled Keywords:Oil spills in the sea; Compositional Eulerian model; Oil component behavior; Ageing of the oil; Coastal pollution risk analysis; Nonlinear diffusion
Subjects:Sciences > Mathematics
Sciences > Mathematics > Combinatorial analysis
Sciences > Chemistry
Sciences > Chemistry > Chemistry, Organic
Sciences > Statistics
ID Code:70064
Deposited On:04 Feb 2022 17:37
Last Modified:18 Feb 2022 09:15

Origin of downloads

Repository Staff Only: item control page